Fix mistakes in feature selection in SPnDE
Complete the first A2DE test Update version number
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@@ -17,10 +17,8 @@ TEST_CASE("Fit and Score", "[A2DE]")
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auto raw = RawDatasets("glass", true);
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auto clf = bayesnet::A2DE();
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clf.fit(raw.Xv, raw.yv, raw.features, raw.className, raw.states);
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std::cout << "Score A2DE: " << clf.score(raw.Xv, raw.yv) << std::endl;
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// REQUIRE(clf.getNumberOfNodes() == 90);
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// REQUIRE(clf.getNumberOfEdges() == 153);
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// REQUIRE(clf.getNotes().size() == 2);
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// REQUIRE(clf.getNotes()[0] == "Used features in initialization: 6 of 9 with CFS");
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// REQUIRE(clf.getNotes()[1] == "Number of models: 9");
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REQUIRE(clf.score(raw.Xv, raw.yv) == Catch::Approx(0.831776).epsilon(raw.epsilon));
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REQUIRE(clf.getNumberOfNodes() == 360);
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REQUIRE(clf.getNumberOfEdges() == 756);
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REQUIRE(clf.getNotes().size() == 0);
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}
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